Machine Learning—Executive Help, Marketers Advance, and Data Bias

Andrea Steffes-Tuttle Weekly Roundup

This week, we feature an article that shares which questions to ask in order to get the most out of your data. We cover marketing’s shift to prioritizing data storage for AI and machine learning insights. Also, we consider why machine learning isn’t just about analyzing a pile of numbers and still requires a human touch. Seven Things Every Executive Should Know About Machine Learning …

Marketing Optimization Explained

Paul Maiste Optimization

Marketing Optimization refers to understanding and analyzing your data to make better marketing decisions across channels. Doing this properly can result in: Improved ROI Increased customer response rate Increased annual revenue Increased website conversions Decreased cost per order The challenge is to determine how to optimize your data for improved results. The amount and significance of information organizations have can be …

Data Strategies—Encourage Trust, Utilize IoT, and Constantly Manage

Andrea Steffes-Tuttle Weekly Roundup

In this week’s roundup, we dive into data strategies marketers can use to manage, improve customer data quality, and increase trust. We share why marketers should focus on the quality of their data by becoming data stewards and providing a clear benefit to customers so that they are more likely to share their data. Also, we see how marketers can use IoT to improve …

How Machine Learning Helps Agencies Improve Their Services and Performance

Andrea Steffes-Tuttle Insights, Machine Learning, Marketing Analytics, Predictive Analytics

Marketers are under greater pressure than ever to optimize, measure, and ultimately predict outcomes of their efforts. Marketers working in an agency environment, serving clients, who are measured on the success of campaigns and dependent on that success to drive client renewals feel that pressure even more intensely. Many marketers have figured out the measurement of marketing programs—most agencies can …

Marketers & Agencies—2019 Technology, Trends, & Data Validation

Andrea Steffes-Tuttle Weekly Roundup

In our first roundup of 2019, we share the top trends and changes agencies and marketers will see this year. Also, we feature articles regarding a shift to a programmatic marketing mindset with a focus on verification of third-party data. Lastly, it looks like the customer data platform (CDP) sector is on the rise. Read the roundup to find out more. …

data democratization nonprofit

How Nonprofits Can Benefit from the Evolution of Data Democratization

Becky Land Nonprofit

Several months ago, we had a client approach us with a challenge that has become all too common among organizations of all sizes. This client, a major not-for-profit organization that advocates on behalf of its members, was looking for a way to improve the efficiency of a segment of their direct advertising programs through enhanced analytics and automation. By identifying …

Predictions for 2019—Data Focused

Andrea Steffes-Tuttle Weekly Roundup

In our last roundup of 2018, we look back at what has happened this year and what we might see happen in 2019. We dig further into our predictions for AI, Machine Learning, and Data Analytics along with experts from MarTech and Data-Magnum. We also discuss how we see marketers advancing from a digital-first philosophy to a data-first mindset that …

7 Predictions for AI, Machine Learning & Data Analytics in 2019

Andrea Steffes-Tuttle Data Management, Insights, Machine Learning, Marketing Analytics, Predictive Analytics

  There was plenty of noise about Artificial Intelligence, Machine Learning, and Data Analytics in 2018. And we don’t expect it to be any quieter in 2019. To help you make sense of the hype, we’ve compiled some key takeaways from and predictions for these technologies, so you can position your business for success in the new year—and beyond. Finance …

The Demand for Data Scientists Continues to Grow

Andrea Steffes-Tuttle Weekly Roundup

In this week’s roundup, we focus on the growing trend of companies needing and sourcing data scientists. Several of our articles this week are related to how companies can better identify data science talent by asking five basic questions. We continue to see a large data scientists talent gap; however, it could be becoming “democratized,” which will help bridge the …